Search Results for author:
Found 13 papers, 6 papers with code
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?
In the design of traffic monitoring solutions for optimizing the urban mobility infrastructure, acoustic vehicle counting models have received attention due to their cost effectiveness and energy efficiency.
Microphone Subset Selection for the Weighted Prediction Error Algorithm using a Group Sparsity Penalty
Reverberation can severely degrade the quality of speech signals recorded using microphones in an enclosure.
End-to-end Transfer Learning for Speaker-independent Cross-language Speech Emotion Recognition
We use the wav2vec 2. 0 pre-trained model to transform audio time-domain waveforms from different languages, different speakers and different recording conditions into a feature space shared by multiple languages, thereby it reduces the language variabilities in the speech features.
Low-Complexity Steered Response Power Mapping based on Low-Rank and Sparse Interpolation
For acoustic source localization, a map of the acoustic scene as obtained by the steered response power (SRP) approach can be employed.
Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks
Distributed signal-processing algorithms in (wireless) sensor networks often aim to decentralize processing tasks to reduce communication cost and computational complexity or avoid reliance on a single device (i. e., fusion center) for processing.
MYRiAD: A Multi-Array Room Acoustic Database
In the development of acoustic signal processing algorithms, their evaluation in various acoustic environments is of utmost importance.
Real-Time Acoustic Perception for Automotive Applications
On the algorithmic side, the I-SPOT Project aims to enable detecting, localizing and tracking environmental audio signals by jointly developing microphone array processing and deep learning techniques that specifically target automotive applications.
Dereverberation in Acoustic Sensor Networks Using Weighted Prediction Error With Microphone-dependent Prediction Delays
In the WPE algorithm, a prediction delay is required to reduce the correlation between the prediction signals and the direct component in the reference microphone signal.
Speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle
A method is proposed for performing speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle (UAV).
Sampling Rate Offset Estimation and Compensation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Acoustic Sensor Networks
Sampling rate offsets (SROs) between devices in a heterogeneous wireless acoustic sensor network (WASN) can hinder the ability of distributed adaptive algorithms to perform as intended when they rely on coherent signal processing.
Quantifying and Computing Covariance Uncertainty
In this work, we consider the problem of bounding the values of a covariance function corresponding to a continuous-time stationary stochastic process or signal.
Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling
The steered response power (SRP) approach to acoustic source localization computes a map of the acoustic scene from the frequency-weighted output power of a beamformer steered towards a set of candidate locations.
A multi-layered energy consumption model for smart wireless acoustic sensor networks
This model provides a first step of exploration prior to custom design of a smart wireless acoustic sensor, and also can be used to compare the energy consumption of different protocols.
